Learning from the limited amount of labeled data to the pre-train model ...
PageRank is a famous measure of graph centrality that has numerous
appli...
We study the fundamental problem of sampling independent events, called
...
Drop-on-demand (DOD) inkjet printing has been considered as one of promi...
Graph Neural Networks (GNNs) have been widely used for modeling
graph-st...
Personalized PageRank (PPR) is a widely used node proximity measure in g...